Development of an Artificial Intelligence Algorithm

Development of an Artificial Intelligence Algorithm to Identify the Main Risks of Ischemia of Mechanical Intestinal Obstruction

Status

UNKNOWN

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT04795388

Acronym

SMARTLOOP

Enrollment

589

Registered

2021-03-12

Start date

2020-08-01

Completion date

2023-12-31

Last updated

2023-04-27

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Mechanical Intestinal Obstruction

Keywords

ischemia

Brief summary

Mechanical obstruction of the small intestine is an interruption of intestinal transit due to an organic obstacle in the digestive tract that results in a shutdown of materials and gas. Without medical care, it can lead to perforation of the intestinal wall and acute peritonitis. It accounts for 4% of emergency department admissions and 20% of emergency surgeries

Detailed description

The abdominopelvic tomodensitometric examination is the gold standard for making a diagnosis and identifying the cause, the level of the lesion and looking for signs of severity related to the risk of ischemia of the intestinal tissue. Well characterized, these signs remain difficult to identify for a non-expert radiologist. The evaluation of the detection performance of these signs shows a sensitivity between 63 and 100% and a specificity between 61 and 96% with a great variation according to the signs studied. Our research project aims to develop a tool for the detection of the three main signs of severity of mechanical intestinal obstruction to raise and standardize the level of detection of the risk of ischemia on abdominal CT images.

Interventions

None listed

Study design

Observational model

COHORT

Time perspective

RETROSPECTIVE

Eligibility

Sex/Gender

ALL

Age

18 Years to No maximum

Healthy volunteers

Inclusion criteria

* Patient whose age is ≥ 18 years * Patients with an abdominal scan performed at Saint-Joseph Hospital * Patients diagnosed with mechanical obstruction of the small intestine on a flange or adhesion * Patients having abdominal surgery within 48 hours of diagnosis or medical follow-up at Saint Joseph Hospital * French-speaking patient

Exclusion criteria

* Patients with a history of abdominal surgery one month before diagnosis * Patients objecting to the use of their data for this research * Patient under guardianship or curatorship * Patient under legal protection * Patient deprived of liberty

Design outcomes

Primary

Measure	Time frame	Description
Develop a computer tool that can support the radiologist in identifying the serious risks associated with intestinal obstruction	Day 1	The comparison score (Dice) between manual classifications and locations performed by clinical experts and those automatically predicted by the tool.

Countries

France

Outcome results